OBJECT RECOGNITION WITH SIFT AND MI-SIFT METHODS

Abstract

This study, which has been commonly used in object recognition area for 10 years, is based on the recognition of special point-based objects and there are differences in some areas such as luminance, anguler and resistance from cyclic and dimensional changes. Generally, scalar invariant feature transformation (scale invariant feature transform- SIFT) method and independent feature transformation (mirror reflection invariant feature- MIFT) method which is a weak point of SIFT method, also is created against the mirroring effect to gain resistance are investigated in this experiment. In this work, 11 sample trials with images which were in different cases were performed one by one to analyze these methods actually and this could give us opportunity to compare the results of the methods respectively. The aim of this work was understanding the performance capability of object recognition methods that were SIFT and MIFT in time domain and space domain, also determining the speed and result acquisition time values of these methods represented us to observe the advantages and disadvantages of SIFT and MIFT.

Keywords

• Object recognition, keypoint descriptors, scale invariant feature transform, SIFT, mirror reflection invariant feature transform, MIFT

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